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Volumn 5, Issue , 2011, Pages

Nipype: A flexible, lightweight and extensible neuroimaging data processing framework in Python

Author keywords

Data processing; Neuroimaging; Pipeline; Python; Reproducible research; Workflow

Indexed keywords

HUMAN; LEARNING CURVE; MACHINE; NEUROIMAGING; PHILOSOPHY; PIPELINE; SEMANTICS; SOFTWARE; WORKFLOW;

EID: 84994026358     PISSN: None     EISSN: 16625196     Source Type: Journal    
DOI: 10.3389/fninf.2011.00013     Document Type: Article
Times cited : (1295)

References (32)
  • 1
    • 7044239648 scopus 로고    scopus 로고
    • Geodesic estimation for large deformation anatomical shape averaging and interpolation
    • Avants, B., and Gee, J. C. (2004). Geodesic estimation for large deformation anatomical shape averaging and interpolation. Neuroimage 23(Suppl. 1), S139-S150.
    • (2004) Neuroimage , vol.23 , pp. S139-S150
    • Avants, B.1    Gee, J.C.2
  • 2
    • 82955174104 scopus 로고    scopus 로고
    • Topographica: Building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components
    • Bednar, J. A. (2009). Topographica: building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components. Front. Neuroinform. 3:8.
    • (2009) Front. Neuroinform , vol.3 , pp. 8
    • Bednar, J.A.1
  • 4
    • 84993975626 scopus 로고    scopus 로고
    • Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods
    • [Epub ahead of print]
    • Churchill, N. W., Oder, A., Abdi, H., Tam, F., Lee, W., Thomas, C., Ween, J. E., Graham, S. J., and Strother, S. C. (2011). Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods. Hum. Brain Mapp. [Epub ahead of print].
    • (2011) Hum. Brain Mapp
    • Churchill, N.W.1    Oder, A.2    Abdi, H.3    Tam, F.4    Lee, W.5    Thomas, C.6    Ween, J.E.7    Graham, S.J.8    Strother, S.C.9
  • 5
    • 17644388079 scopus 로고    scopus 로고
    • BrainVISA: Software platform for visualization and analysis of multi-modality brain data
    • Cointepas, Y., Mangin, J., Garnero, L., and Poline, J. (2001). BrainVISA: software platform for visualization and analysis of multi-modality brain data. Neuroimage 13, 98.
    • (2001) Neuroimage , vol.13 , pp. 98
    • Cointepas, Y.1    Mangin, J.2    Garnero, L.3    Poline, J.4
  • 6
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • Dean, J., and Ghemawat, S. (2008). MapReduce: simplified data processing on large clusters. Commun. ACM 51, 1-13.
    • (2008) Commun. ACM , vol.51 , pp. 1-13
    • Dean, J.1    Ghemawat, S.2
  • 10
    • 0032799993 scopus 로고    scopus 로고
    • Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system
    • Fischl, B., Sereno, M. I., and Dale, A. M. (1999). Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system. Neuroimage 9, 195-207.
    • (1999) Neuroimage , vol.9 , pp. 195-207
    • Fischl, B.1    Sereno, M.I.2    Dale, A.M.3
  • 13
    • 84993995154 scopus 로고    scopus 로고
    • The connectome viewer toolkit: An open source framework to manage, analyze, and visualize connectomes
    • Gerhard, S., Daducci, A., Lemkaddem, A., Meuli, R., Thiran, J. P., and Hagmann, P. (2011). The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes. Front. Neuroinform. 5:3.
    • (2011) Front. Neuroinform , vol.5 , pp. 3
    • Gerhard, S.1    Daducci, A.2    Lemkaddem, A.3    Meuli, R.4    Thiran, J.P.5    Hagmann, P.6
  • 15
    • 67949092690 scopus 로고    scopus 로고
    • Accurate and robust brain image alignment using boundary-based registration
    • Greve, D. N., and Fischl, B. (2009). Accurate and robust brain image alignment using boundary-based registration. Neuroimage 48, 63-72.
    • (2009) Neuroimage , vol.48 , pp. 63-72
    • Greve, D.N.1    Fischl, B.2
  • 16
    • 33750732995 scopus 로고    scopus 로고
    • Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data
    • Hagler, D. J., Saygin, A. P., and Sereno, M. I. (2006). Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 33, 1093-1103.
    • (2006) Neuroimage , vol.33 , pp. 1093-1103
    • Hagler, D.J.1    Saygin, A.P.2    Sereno, M.I.3
  • 18
  • 20
    • 33645377498 scopus 로고    scopus 로고
    • A multigrid method for anisotropic PDEs in elastic image registration
    • H�mke, L. (2006). A multigrid method for anisotropic PDEs in elastic image registration. Numer. Linear Algebra Appl. 13, 215-229.
    • (2006) Numer. Linear Algebra Appl , vol.13 , pp. 215-229
    • H�mke, L.1
  • 25
    • 79952591087 scopus 로고    scopus 로고
    • Python for scientists and engineers
    • Millman, K. J., and Aivazis, M. (2011). Python for scientists and engineers. Comput. Sci. Eng. 13, 9-12.
    • (2011) Comput. Sci. Eng , vol.13 , pp. 9-12
    • Millman, K.J.1    Aivazis, M.2
  • 27
  • 28
    • 0042745638 scopus 로고    scopus 로고
    • The LONI pipeline processing environment
    • Rex, D. E., Ma, J. Q., and Toga, A. W. (2003). The LONI pipeline processing environment. Neuroimage 19, 1033-1048.
    • (2003) Neuroimage , vol.19 , pp. 1033-1048
    • Rex, D.E.1    Ma, J.Q.2    Toga, A.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.